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Observation of WiMAX Radio Parameters to Enhance Spectrum Utilization in Mixed Environment

Kowalik K., Kliks A., Musznicki B, Kołodziejski M., Kryszkiewicz P.

Journal of Telecommunications and Information Technology

2018

nr 1

42--50

It is believed that 5G networks will provide 1000 times more capacity than current solutions. One of the keys to achieve that goal is not only the utilization of additional radio bands, but also and foremost, the dynamic and efficient spectrum sharing. To successfully implement it such feature statistical observation and analysis of currently operational legacy systems are required. Comprehensive data on the signal parameters will allow then to determine and tune the approach to simultaneous bandwidth usage by existing and new systems. Therefore, to define and introduce the problem this paper presents a conceptual analysis of IEEE 802.16e based WiMAX network operating in the 3.6--3.8 GHz band on the eve of spectrum sharing introduction.

Optimal Spectrum Utilization and Flow Controlling In Heterogeneous Network with Reconfigurable Devices

Hashmi S. S., Sattar S. A., Soundararajan K.

International Journal of Electronics and Telecommunications

2017

Vol. 63, No. 3

269--277

Fairness provisioning in heterogeneous networks is a prime issue for high-rate data flow, wherein the inter-connectivity property among different communication devices provides higher throughput. In Hetnet, optimal resource utilization is required for efficient resource usage. Proper resource allocation in such a network led to higher data flow performance for real-time applications. In view of optimal resource allocation, a resource utilization approach for a reconfigurable cognitive device with spectrum sensing capability is proposed in this paper. The allocation of the data flow rate at device level is proposed for optimization of network fairness in a heterogeneous network. A dynamic approach of rate-inference optimization is proposed to provide fairness in dynamic data traffic conditions. The simulation results validate the improvement in offered quality in comparison to multi-attribute optimization.